eigenvalue problem


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eigenvalue problem

[′ī·gən‚val·yü ‚präb·ləm]
(mathematics)
References in periodicals archive ?
0] are the eigenvectors of the original (baseline) design, and the following eigenvalue problem is solved
The above form of eigenvalue problem enables us to seek eigenvalues k at each frequency [omega].
This is not successful, and we instead work directly with the operators obtained in the estimate of the jump operator and formulate a generalized eigenvalue problem for each of the edges of the subdomains.
For the origin of interior transmission eigenvalue problem, we refer to Kirsch [1] and Colton and Monk [2].
Since we, in this paper, deal with the improving of the algorithm to determine whether a quadratic eigenvalue problem is definite or not, let us briefly summarize what has been done so far in the literature up to this point.
Chain reactions in nuclear reactors are described by a more complicated eigenvalue problem, in which the smallest-magnitude eigenvalue describes whether the reaction is subcritical, critical, or supercritical [3].
In [2], [3], Annaby and Mansour studied a q-analogue of Sturm-Liouville eigenvalue problems and formulated a self-adjoint q-difference operator in a Hilbert space.
QUOIRIN, A weighted eigenvalue problem for the p-Laplacian plus a potential, Nonlinear Differential Equations and Applications (NoDEA), 16 (2009), 469-491.
For example, it exploits the manifold structure of the data, and simultaneously only solves a sparse eigenvalue problem and two regression problems.
For the transient problem of present paper, the associated eigenvalue problem is written as follows:
The polynomial eigenvalue problem can be solved using a suitable set of basis functions.